A Japanese-based Hiragana Learning Application Based on Android Using Speech Recognition
Japanese-based Hiragana Learning Application Based on Android Using Speech Recognition
Abstract
The alternative to learning Japanese is to use mobile learning. Based on comparisons made on the 7 popular Japanese language learning applications in the PlayStore, there is no Japanese language learning application that has a speech recognition feature for Japanese sentence pronunciation. In this study Japanese hiragana learning application was designed for sentences using speech recognition. This application uses google cloud speech-to-text for speech recognition features. The algorithm that is applied in this application is the levenshtein distance to compare the user's voice input with the text in the database. Android based application for users and the web for admin. Based on the results of testing the accuracy and success of detection, the ideal distance of the application receiving the user's voice input is 50 cm in a noise-free environment with a successful detection of 100%. In testing before and after using the application there was an increase in vocabulary knowledge of 44.48% after users used the application. Based on usability testing using SUS, the result is 73.01 which indicates that the application falls into the acceptable category.Published
Issue
Section
License
Copyright info for authors
1. Authors hold the copyright in any process, procedure, or article described in the work and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors retain publishing rights to re-use all or portion of the work in different work but can not granting third-party requests for reprinting and republishing the work.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.